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Added 3 months ago
M
Systems Administrator III (Linux)
Moneris
Toronto, ON
- Full-time
…mission-critical production. You will build reusable automation at scale with Ansible, Python, and Bash; drive lifecycle management through patching, upgrades, and migrations; and harden…
Added 3 months ago
M
Systems Engineer
Moneris
Toronto, ON
- Full-time
…Windows and Linux administration, automation, and monitoring, with a primary focus on advancing standards, compliance, performance, capacity, and Infrastructure as Code…
Added 4 months ago
Lightspeed Network Engineering Co-op Student (Fall 2026)
Telesat
Ottawa, ON
Deliver assigned task within scheduled timeframes and with accountability for quality.
Added 3 months ago
CG
AI Solutions Engineer
CSC Generation
Toronto, ON
- Full-time
…awards and cooking class perks, our culture blends recognition with hands-on experiences. New team members are welcomed with care and inspired by wellness events, inclusive stories, and a…
Added 1 month ago
G
Python Developer
Genpact
Montreal, QC
- Full-time
We are seeking an experienced Python Developer to build scalable, secure, and high-performance banking and trading applications supporting critical financial systems.
Added 1 month ago
BC
Financial Systems Specialist
Blake, Cassels & Graydon LLP
Toronto, ON
- Full-time
Assisting with the implementation and testing of system upgrades and software patches from vendors
Added 1 month ago
F
Software QA Specialist
Fortinet
Burnaby, BC
- Full-time
Join Fortinet, a cybersecurity pioneer with over two decades of excellence, as we continue to shape the future of cybersecurity and redefine the intersection of networking and security. At…
Added 1 month ago
C
Gen AI Python Developer - Assistant Vice President
Citi
Mississauga, ON
- Full-time
We are looking for a Python Developer (Applications Development Sr Programmer Analyst - C12) with hands-on experience developing Gen AI solutions. As a developer, you will leverage your…
Added 1 month ago
Senior Software Test Engineer
Coursera
Toronto, ON
You’ll work closely with Infrastructure, and SRE teams to optimize build and test pipelines for speed, coverage, and reliability. Collaborating with Engineering leaders and fellow Test…
Added 5 months ago
D
Senior Data Scientist
DAC
Toronto, Ontario
- Full-time
Expert-level proficiency in statistical programming (Python or R) with ability to write production-quality code
Added 5 months ago
DI
Senior kdb+ Engineer
Data Intellect
Toronto, Ontario
- Full-time
Experience with Python, cloud platforms (AWS, GCP, Azure), or other time-series databases.
Added 5 months ago
DI
kdb+ Engineer
Data Intellect
Toronto, Ontario
- Full-time
Join the world’s largest kdb+ Consultancy where you’ll work with some of the biggest names in Capital Markets and continue to elevate your expertise solving complex challenges in an…
Added 3 months ago
IM
Engineering Manager, Detection
Intuition Machines, Inc.
Remote, Canada
- Contract
- Remote
Extensive experience with Typescript or Python, familiarity with other languages like Rust, Go, or C++
Added 3 months ago
Junior to Intermediate Data Engineer
Talents LGS
Montreal, QC
At IBM Consulting FutureNow, we unite human expertise and artificial intelligence to deliver client results with certainty, speed, and value. Fueled by LGS, with offices in Montreal and…
Added 3 months ago
JI
Project Manager, Cost Management
J.D. Irving, Limited
Dartmouth, NS
- Full-time
…programs and industry partners to achieve outcomes. Working with the Manager, Cost Management, the Project Manager will be responsible for the delivery of key strategic activities as well…
Added 3 months ago
T
Applied AI Research Scientist - Generative and Agentic AI / Scientifique en IA Appliquée- IA Générative et Agentique
Thales
Quebec, QC
- Full-time
…adapt or discard them. They also need to be able to come up with new ideas, present them, challenge them and improve them continuously. The individual must possess deep, hands-on technical…
Added 3 months ago
T
Applied AI Research Scientist – Data Scientist / Scientifique en IA Appliquée – Scientifique de Données
Thales
Quebec, QC
- Full-time
…high-stakes environments. The Data Scientist will collaborate closely with engineers, software developers, and domain experts to leverage data analytics and machine learning techniques that…
Added 2 months ago
Senior Actuarial Analyst, Commercial Pricing
Aviva
Markham, ON
Proficiency in programming and data analysis; experience with SAS is required, while VBA, Python, R, or other analytical tools are considered assets.
Added 3 months ago
Vice President (m/f/d) Index Management – Equity Rebalance
Solactive AG
Toronto, ON
…investment strategies? We are looking for a resourceful self-starter with a quantitative academic background, professional experience in equity markets, derivatives, or index maintenance,…
Added 3 months ago
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Staff Software Engineer, Analytics and Reporting Solutions ⭐
Achievers
Canada
- Full-time
…Achievers platform within their own businesses. You'll work with modern microservices, cloud technologies, distributed systems, APIs, event-driven architectures, and integration analytics…
Added 4 months ago
DS
Agentic AI Engineer
D3 Security Management Systems
Vancouver, BC
- Full-time
Strong coding skills in Python and/or C#, with solid backend engineering fundamentals.
Added 1 month ago
B
DevOps Engineer
Broadridge
Vancouver, BC
- Full-time
Proficiency with scripting/programming languages such as Python, GoLang, or Shell.
Added 2 months ago
Senior Machine Learning Engineer
Fitch Group
Toronto, ON
…Fitch Group, a global leader in financial information services with operations in more than 30 countries, which also includes Fitch Solutions. With dual headquarters in London and New York,…
Added 2 months ago
GD
System Integration & Test, Intermediate
General Dynamics Missions System International
Ottawa, ON
- Full-time
This position will include working with Windows Servers, Networking (routing, VLANs), Microsoft applications, radio secure bearers, voice and data networks, and various automation tools…
Added 3 months ago
V
Engineering Lead, Quality
Vancity
Toronto, ON · Vancouver, BC
- Full-time
Collaborating directly with product and engineering partner teams to embed quality objectives within those teams’ delivery contexts

DAC

Senior Data Scientist

Toronto, ON, Canada

The projected compensation range for this position is $90,000 to $130,000. · Full-time

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Job details

Pay: The projected compensation range for this position is $90,000 to $130,000.
Job type: Full-time
Experience: 4-5 years of hands-on experience in applied statistics, data science, or quantitative research
Posting language: English
Posted: Jun 2, 2026

Original job description

Move Your Career Forward with DAC a Senior Data Scientist

Who We Are

We are DAC - a global full-funnel performance media agency dedicated to delivering transformative results. With expertise spanning SEO, paid media, creative production, analytics, and local optimization, we combine the brightest minds with innovative technology to deliver seamless, forward-thinking strategies. Powered by AI, data, and creative ingenuity, we deliver integrated campaigns that engage customers at every touchpoint - from global audiences to individual store locations.

Role Summary

We are seeking a proactive Senior Data Scientist, who will drive the development and implementation of advanced statistical methodologies while maintaining hands-on involvement in model development. This role requires a strategic thinker who can independently develop innovative analytical frameworks, lead client consultations, and contribute to new business development - all while remaining deeply engaged in the technical execution of complex statistical analyses including Marketing Mix Modeling (MMM) and beyond.

The ideal candidate will bring strong statistical expertise with the ability to apply rigorous analytical methods to diverse business challenges. You'll be expected to be both a thought leader and a practitioner, setting methodological standards while personally delivering high-impact analyses.

Key Responsibilities

Strategic Leadership & Innovation
- Develop and champion novel statistical methodologies and analytical frameworks tailored to client needs
- Lead client consultations as the primary data science expert, translating complex statistical concepts into strategic business recommendations
- Drive new business development by contributing to pitches, proposals, and thought leadership initiatives
- Establish best practices for statistical rigor, model validation, and analytical quality across the organization
- Proactively identify opportunities to apply advanced analytics to solve emerging business challenges
Hands-On Technical Delivery
- Personally build and deploy sophisticated statistical models including MMM, causal inference models, time series forecasting, and experimental design frameworks
- Lead end-to-end model development from hypothesis formation through data preparation, model building, validation, and deployment
- Conduct advanced statistical analyses using techniques such as hierarchical Bayesian modeling, machine learning, and econometric methods
- Design and analyze experiments including A/B tests, geo-lift studies, and synthetic control methods
- Develop custom analytical solutions that go beyond standard approaches to address unique client challenges
Client & Stakeholder Management
- Present findings and recommendations directly to C-suite executives and senior stakeholders
- Build trusted advisor relationships with clients through strategic engagement and thought partnership
- Translate technical insights into compelling narratives that drive strategic decision-making
- Lead cross-functional collaboration with media, strategy, and creative teams to ensure analytical insights are actionable
Technical Infrastructure & Innovation
- Architect scalable analytical solutions using modern data science tools and cloud platforms
- Drive automation initiatives to increase efficiency and reproducibility of analyses
- Evaluate and implement emerging statistical techniques and technologies
- Explore AI and GenAI applications to enhance analytical capabilities and client solutions
- Mentor team members on advanced statistical concepts and methodological approaches

Required Qualifications

Education & Experience
- Bachelor's or Master's degree in Statistics, Mathematics, Economics, Operations Research, Computer Science, or related quantitative field
- 4-5 years of hands-on experience in applied statistics, data science, or quantitative research
- Demonstrated track record of developing and implementing analytical approaches to business problems
- Experience presenting to senior stakeholders and executive audiences
Technical Expertise
- Expert-level proficiency in statistical programming (Python or R) with ability to write production-quality code
- Deep understanding of statistical theory including causal inference, experimental design, time series analysis, and Bayesian methods
- Proven experience building complex models from scratch, not just using pre-built packages
- Strong SQL skills for data extraction and manipulation
- Experience with version control (Git) and collaborative development practices
Leadership & Business Acumen
- Strong initiative with ability to identify opportunities and drive projects independently
- Exceptional communication skills with ability to influence and educate stakeholders
- Business development experience including proposal writing and pitch presentations
- Strategic thinking with ability to connect analytical insights to business outcomes
- Intellectual curiosity and drive to continuously expand methodological toolkit

Preferred Qualifications

Experience with Snowflake or similar cloud data warehouses
Background in marketing analytics, MMM, or media measurement
Experience with causal ML methods (Double ML, causal forests, etc.)
Enthusiasm for AI and GenAI applications in data science
Experience building and mentoring data science teams
Familiarity with marketing channels and performance metrics

What You’ll Get

Professional Growth: Work with top-tier clients and cutting-edge tools in the performance marketing industry.
Collaborative Culture: Be part of a global organization that values curiosity, transparency, and innovation.
Competitive Benefits:
- Competitive salary and comprehensive health benefits.
- Generous PTO, wellness initiatives and parental leave.
- Retirement saving plans.
- Opportunities for continued learning and professional development.
- A supportive, collaborative, and casual work environment.

How We Work

This role requires three in-office days per week. Remote work is not available for this position.

This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment or group. DAC is an equal opportunity employer, committed to providing equal employment opportunities to all employees and applicants without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability, or any other basis prohibited by applicable federal, provincial, state, or municipal law. If you require an accommodation in any aspect of the selection process, please reach out to tacquisition@dacgroup.com.

At DAC we celebrate your contributions, provide you with opportunities, and support your total well-being. Our offerings include health, vision, dental, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and employee assistance support. Full-time employees are eligible to participate in the DAC benefit programs.

Salary at DAC is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $90,000 to $130,000. The estimate displayed represents the typical salary range for this position and is just one component of DAC’s total compensation package for employees.

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More about this job

Responsibilities

The Senior Data Scientist will develop and implement advanced statistical methodologies while being hands-on in model development. They will lead client consultations and contribute to new business development, ensuring high-impact analyses are delivered.

Requirements

Candidates should have a Bachelor's or Master's degree in a quantitative field and 4-5 years of experience in applied statistics or data science. Strong statistical expertise and experience presenting to senior stakeholders are essential.

Skills

Statistical Programming
Python
R
Statistical Theory
Causal Inference
Experimental Design
Time Series Analysis
Bayesian Methods
SQL
Model Development
Machine Learning
Econometric Methods
A/B Testing
Data Science
Analytical Frameworks
Client Consultation

Benefits

Health Insurance
Vision Insurance
Dental Insurance
Life Insurance
Disability Insurance
Financial Benefits
Retirement Savings Plans
Paid Leave
Professional Development
Tuition Assistance
Work-Life Programs
Employee Assistance Support

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Statistical Methodologies
Marketing Mix Modeling
Causal Inference
Time Series Forecasting
Experimental Design
Hierarchical Bayesian Modeling
Machine Learning
Econometric Methods
A/B Testing
Geo-Lift Studies
Synthetic Control Methods
Cloud Platforms
Automation
AI
GenAI
Statistical Rigor
Model Validation
Analytical Quality
Client Engagement
Thought Leadership
Business Development
Proposal Writing
Pitch Presentations
Cross-Functional Collaboration
Performance Marketing
Statistical Programming
SQL
Version Control
Git

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